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Cannot extract the features (columns) for the split 'train' of the config 'default' of the dataset.
Error code: FeaturesError
Exception: UnicodeDecodeError
Message: 'utf-8' codec can't decode byte 0x93 in position 0: invalid start byte
Traceback: Traceback (most recent call last):
File "/src/services/worker/.venv/lib/python3.9/site-packages/mongoengine/queryset/base.py", line 269, in get
result = next(queryset)
File "/src/services/worker/.venv/lib/python3.9/site-packages/mongoengine/queryset/base.py", line 1608, in __next__
raw_doc = next(self._cursor)
File "/src/services/worker/.venv/lib/python3.9/site-packages/pymongo/cursor.py", line 1267, in next
raise StopIteration
StopIteration
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/src/libs/libcommon/src/libcommon/simple_cache.py", line 533, in get_response_with_details
CachedResponseDocument.objects(kind=kind, dataset=dataset, config=config, split=split)
File "/src/services/worker/.venv/lib/python3.9/site-packages/mongoengine/queryset/base.py", line 272, in get
raise queryset._document.DoesNotExist(msg)
libcommon.simple_cache.DoesNotExist: CachedResponseDocument matching query does not exist.
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 322, in compute
compute_first_rows_from_parquet_response(
File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 88, in compute_first_rows_from_parquet_response
rows_index = indexer.get_rows_index(
File "/src/libs/libcommon/src/libcommon/parquet_utils.py", line 640, in get_rows_index
return RowsIndex(
File "/src/libs/libcommon/src/libcommon/parquet_utils.py", line 521, in __init__
self.parquet_index = self._init_parquet_index(
File "/src/libs/libcommon/src/libcommon/parquet_utils.py", line 538, in _init_parquet_index
response = get_previous_step_or_raise(
File "/src/libs/libcommon/src/libcommon/simple_cache.py", line 582, in get_previous_step_or_raise
response = get_response_with_details(kind=kind, dataset=dataset, config=config, split=split)
File "/src/libs/libcommon/src/libcommon/simple_cache.py", line 546, in get_response_with_details
raise CachedArtifactNotFoundError(kind=kind, dataset=dataset, config=config, split=split) from e
libcommon.simple_cache.CachedArtifactNotFoundError: Cache entry does not exist: kind='config-parquet-metadata' dataset='Cohere/trec-rag-2024-index' config='default' split=None
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/json/json.py", line 122, in _generate_tables
pa_table = paj.read_json(
File "pyarrow/_json.pyx", line 308, in pyarrow._json.read_json
File "pyarrow/error.pxi", line 154, in pyarrow.lib.pyarrow_internal_check_status
File "pyarrow/error.pxi", line 91, in pyarrow.lib.check_status
pyarrow.lib.ArrowInvalid: JSON parse error: Invalid value. in row 0
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 240, in compute_first_rows_from_streaming_response
iterable_dataset = iterable_dataset._resolve_features()
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 2216, in _resolve_features
features = _infer_features_from_batch(self.with_format(None)._head())
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1239, in _head
return _examples_to_batch(list(self.take(n)))
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1389, in __iter__
for key, example in ex_iterable:
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1044, in __iter__
yield from islice(self.ex_iterable, self.n)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 282, in __iter__
for key, pa_table in self.generate_tables_fn(**self.kwargs):
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/json/json.py", line 145, in _generate_tables
dataset = json.load(f)
File "/usr/local/lib/python3.9/json/__init__.py", line 293, in load
return loads(fp.read(),
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/utils/file_utils.py", line 1104, in read_with_retries
out = read(*args, **kwargs)
File "/usr/local/lib/python3.9/codecs.py", line 322, in decode
(result, consumed) = self._buffer_decode(data, self.errors, final)
UnicodeDecodeError: 'utf-8' codec can't decode byte 0x93 in position 0: invalid start byteNeed help to make the dataset viewer work? Open a discussion for direct support.
This dataset contains the embeddings for the segmented TREC RAG 2024 corpus, embedded with the Cohere Embed V3 model.
You can search on this dataset with just 500MB of memory using DiskVectorIndex.
Installation & Usage
Get your free Cohere API key from cohere.com. You must set this API key as an environment variable:
export COHERE_API_KEY=your_api_key
Install the package:
pip install DiskVectorIndex
You can then search via:
from DiskVectorIndex import DiskVectorIndex
index = DiskVectorIndex("Cohere/trec-rag-2024-index")
while True:
query = input("\n\nEnter a question: ")
docs = index.search(query, top_k=3)
for doc in docs:
print(doc)
print("=========")
License
Please observe the License for the TREC RAG 2024 Corpus. The license displayed here is just for the embeddings.
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